Monthly Traffic Safety Analysis

11 CRASHES IN
MIDDLETON, MA
MARCH 2024

All metrics benchmarked againstMarch 2023

Total crashes in Middleton decreased by 42.1% from 19 in March 2023 to 11 in March 2024. Total injuries also saw a significant decline, falling by 66.7% from 6 to 2 over the same period. The most notable shift was a 62.5% reduction in crashes where "No improper driving" was cited as a contributing factor, decreasing from 8 to 3.

11

-42.1%was 19

Total Crash Events

0

Persons Killed

2

-66.7%was 6

Persons Injured

0

Fatal Crash Events

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in Middleton showed a significant downward trend year-over-year. Total crashes decreased by 42.1%, from 19 crashes in March 2023 to 11 crashes in March 2024. Concurrently, total injuries dropped by 66.7%, from 6 injuries in March 2023 to 2 injuries in March 2024.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 6-66.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Friday in March 2023, with 4 crashes, to Sunday in March 2024, with 3 crashes. The peak hour also changed, moving from 1 p.m. with 3 crashes in March 2023 to 11 a.m. with 2 crashes in March 2024. While both periods saw crashes distributed throughout the week, Saturday had 0 crashes in March 2024 compared to 3 crashes in March 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

No fatal crashes were reported in either March 2023 or March 2024, maintaining a zero fatal crash rate. The total number of injured persons decreased from 6 in March 2023 to 2 in March 2024. Minor injuries (severity B) decreased from 2 in March 2023 to 1 in March 2024, and possible injuries (severity C) were reported in March 2023 (2 crashes) but not in March 2024.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes9.1%
-50.0%prior 2
No Injury10no injury crashes90.9%
-33.3%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to "No improper driving" decreased by 62.5%, from 8 crashes in March 2023 to 3 crashes in March 2024. Crashes involving "Inattention" also saw a decrease of 40%, falling from 5 crashes in March 2023 to 3 crashes in March 2024. Notably, crashes citing "Exceeded authorized speed limit" as a factor increased from 0 in March 2023 to 1 crash in March 2024.

Officer-Reported Primary Contributing Cause

Inattention3 (27.3%)-40.0%prior 5
No improper driving3 (27.3%)-62.5%prior 8
Followed too closely1 (9.1%)
Exceeded authorized speed limit1 (9.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (9.1%)
Failed to yield right of way1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in "Clear" weather conditions decreased by 53.8%, from 13 crashes in March 2023 to 6 crashes in March 2024. The number of crashes on "Dry" road surfaces also saw a 56.3% decrease, falling from 16 in March 2023 to 7 in March 2024. Conversely, crashes on "Wet" road surfaces increased by 100%, from 2 in March 2023 to 4 in March 2024.

Weather

Clear6 (54.5%)
-53.8%prior 13
Cloudy/Rain2 (18.2%)
Clear/Cloudy1 (9.1%)
Cloudy1 (9.1%)
Rain1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash

Lighting

Daylight9 (81.8%)
-40.0%prior 15
Dark - lighted roadway2 (18.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field

Road Surface

Dry7 (63.6%)
-56.3%prior 16
Wet4 (36.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (19 vehicles)

1
FORD5 (26.3%)
0.0%prior 5
2
HONDA5 (26.3%)
-37.5%prior 8
3
TOYOTA4 (21.1%)
4
JEEP2 (10.5%)
5
LEXUS1 (5.3%)
6
CHEVROLET1 (5.3%)
7
VOLVO1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records

Sex Distribution (19 persons with recorded sex)

Male14 (73.7%)
-17.6%prior 17
Female5 (26.3%)
-81.5%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 35 mph zones decreased by 50%, from 8 crashes in March 2023 to 4 crashes in March 2024. Crashes in 40 mph zones saw a significant 87.5% reduction, falling from 8 crashes in March 2023 to 1 crash in March 2024. New speed zones with crashes reported in March 2024 included 5 mph (1 crash), 20 mph (1 crash), and 45 mph (2 crashes), none of which had crashes reported in March 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2024-03-01 through 2024-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: MIDDLETON, MA
  • Total crash records analyzed: 11
  • Total persons involved: 19
  • Total vehicles involved: 19

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "MIDDLETON, MA Crash Intelligence Report: March 2024." Published June 21, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/middleton/march-2024-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Middleton, MA Crash Report — March 2024 | ThatCarHitMe.com